Article Per Year (5 Year)
p-Index From 2021 - 2026
6.203
P-Index
This Author published in this journals
All Journal PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics METIK JURNAL Jurnal Matematika UNAND Variance : Journal of Statistics and Its Applications ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Statistika dan Aplikasinya JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Griya Journal of Mathematics Education and Application Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman Pattimura International Journal of Mathematics (PIJMath) Jurnal Riset Mahasiswa Matematika The Indonesian Journal of Computer Science Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Computational and Applied Mathematics
Isran K Hasan
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 45 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 45 Documents
Search

 1   2   3   4   5 
Analisis Peramalan Harga Saham PT Unilever Indonesia Menggunakan Pemodelan LSTM dengan Optimasi PSO Dewinto Burhan; Isran K. Hasan; La Ode Nashar
Jurnal Riset Mahasiswa Matematika Vol 5, No 3 (2026): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v5i3.40090

Abstract

Pergerakan harga saham cenderung tidak stabil dan sulit diprediksi karena memiliki pola yang kompleks serta berubah-ubah dari waktu ke waktu. Untuk mengatasi hal tersebut, penelitian ini menggunakan model Long Short-Term Memory (LSTM) dalam melakukan peramalan harga saham. Agar model yang dihasilkan memiliki kinerja yang optimal, dilakukan optimasi hyperparameter menggunakan metode Particle Swarm Optimization (PSO). Optimasi dilakukan pada tiga parameter utama LSTM yaitu LSTM units, dropout rate, dense units. Dari proses optimasi diperoleh enam konfigurasi model terbaik. Hasil pengujian menunjukkan model ke-5 memberikan hasil optimasi paling baik dengan nilai RMSE 120,3320 dan MAPE sebesar 3,53% dengan menggunakan kombinasi hyperparameter LSTM units = 137, dropout rate = 0,498, dan dense units = 32. Hasil ini menunjukkan bahwa optimasi hyperparameter memberikan peningkatan akurasi peramalan dibandingkan LSTM tanpa optimasi. Dengan demikian, kombinasi model LSTM dengan optimasi PSO mampu menghasilkan peramalan harga saham yang lebih akurat dan stabil. Pendekatan ini dapat digunakan sebagai alternatif dalam analisis pergerakan harga saham dan mendukung pengambilan keputusan investasi.
Prediksi Harga Emas Dunia Menggunakan Deep Learning GRU dengan Optimasi Nadam Ismail Saputra R. Harmain; Nurwan Nurwan; Isran K. Hasan; Djihad Wungguli; Nisky Imansyah Yahya
Jurnal Riset Mahasiswa Matematika Vol 4, No 6 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i6.36007

Abstract

Volatilitas harga emas yang tinggi menuntut adanya metode prediksi yang andal untuk mendukung pengambilan keputusan investasi. Penelitian ini mengimplementasikan algoritma Gated Recurrent Unit (GRU) berbasis deep learning yang dioptimalkan menggunakan Nesterov-Accelerated Adaptive Moment Estimation (Nadam) untuk memprediksi harga emas harian.Model terbaik diperoleh dengan nilai Mean Squared Error (MSE) sebesar 0, 00012 pada data univariat dan 0, 00027 pada data multivariat. Mean Absolute Percentage Error (MAPE) yang diperoleh masing-masing sebesar 1,107% untuk data univariat dan 1,59% untuk data multivariat. Hasil tersebut mengindikasikan bahwa model GRU dengan optimasi Nadam memiliki performa prediksi yang tinggi, baik pada data deret waktu tanpa penambahan fitur maupun dengan penambahan fitur.
Perbandingan Model ARIMA-RBF dan ARIMA-GARCH dalam Peramalan Time Series Inflasi Provinsi Gorontalo Awalia Emiro; Isran K Hasan; Novianita Achmad
Research in the Mathematical and Natural Sciences Vol. 2 No. 1 (2023): November 2022-April 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i1.76

Abstract

A quantitative method that is observed sequentially from time to time is a time series. In the real word, problems often occur where one method is not able to solve the problem. This research used linear and nonlinear methods by combining the ARIMA-RBF anda ARIMA-GARCH models in forecasting, and then the two models were compared based on the MAPE value. This research used monthly data on inflation for housing, water, electricity, and other fuels from 2008 to 2020. The forecast results from the ARIMA-RBF model obtained the MAPE value of 7.5%, and the ARIMA-GARCH model obtained the MAPE value of 11.8%. thus, the best model for predicting inflation in this research was the ARIMA RBF model.
Model Antrian Pelayanan Terhadap Nasabah Bank BRI Menggunakan Petri Net dan Aljabar Max Plus Sri Ayu Nurdin; Lailany Yahya; Isran K Hasan; Nurwan Nurwan
Research in the Mathematical and Natural Sciences Vol. 2 No. 2 (2023): May-October 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i2.106

Abstract

Petri net is one model representing transitions and places connected by arrows. Max Plus Algebra is an algebraic structure in which all sets of real numbers  are equipped with max (maximum) and (addition). This research created a Petri net model of the customer service system for Bank BRI and a Max Plus Algebra model related to time to minimize service time at Bank BRI. The result is periodic time or characteristic values and vector characteristics where the values and are . The value of this vector's characteristics becomes a periodic time, which only takes 2 days 3 hours during working hours to disburse money after the client's arrival.
Peramalan Inflasi di Provinsi Gorontalo Menggunakan Metode General Regression Neural Network (GRNN) Isran K Hasan; Novianita Achmad; Putri Lapitung
Research in the Mathematical and Natural Sciences Vol. 3 No. 1 (2024): November 2023-April 2024
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v3i1.150

Abstract

Forecasting the inflation rate is important because the results obtained are used as an indicator that can influence the policies that will be made later. One policy that uses the results of this forecasting as one of the things that can influence it is economic policy and monetary policy. In this study, the method used is the general regression neural network (GRNN). This forecast is applied to inflation data in Gorontalo Province from January 2008 to April 2023, with the conclusion that it produces an inflation forecast for May – December 2023 with a MAPE value of 3.24% or an accuracy rate of 96.76%.
Co-Authors Abubakar, Agung Sucipto Afandi W. Biga Agusyarif Rezka Nuha Alaina, Silvana Rahmayanti Alvitha Habibie Armayani Arsal Armayani Arsal Asriadi Asriadi Asriadi Asriadi Asriadi Awalia Emiro Buhungo, Rayhanul Jannah Demas Novaleda Abdul Karim Dewi Rahmawaty Isa Dewinto Burhan Djihad Wungguli Djuma, Clara Anggriani Doholio, Nadya Pratiwi Hanz Franklyn Bachruddin Wewengkang Hasan S. Panigoro HASIRU, LISA SYAHRIA Hinelo, Ikrar Prasetyo I Wayan Can Aryasandi Indrawati Lihawa Ismail Djakaria Ismail Saputra R. Harmain Ivan Novri Jefriyanto Ibrahim Karim, Finansiya S. Abd. Kasim, Afrianto Pratama Khairun Nisa Humolungo Kurniawan Kurniawan La Ode Nashar Lailany Yahya Misranti A. Samulu Mokodompit, Marcela Nadhilah, Farhah Nanda Arista Rizki Naufal Daffa Pahrun NISKY IMANSYAH YAHYA Nisky Imansyah Yahya Novianita Achmad Nur Anggraini T. Ali Nur Falaq Nur Miftah Muhammad Nur Siyam Djibu Nurul Afifah Nurwan Nurwan Nurwan, Nurwan Pakaya, Desya Neydi Putri Putri Lapitung Rahmi, Emli Ramdan Hayati Ramla Mohamad Resmawan Resmawan Saiful Pomahiya Salmun K. Nasib Sampe, Nofia Sigar, Tesya Siti Nurmardia Abdussamad Sri Ayu Nurdin Suci Tilome Suharmin, Wandayana Nur'Amanah Sumarno Ismail Suryahaty Aisyah Aulia Kaluku Thesalonica Graina Barung Trieke Nurfadilah Harun Ulopo, Asrul S Usman, Rahmat Setiawan Winni A. Pakaya